Quantitative approaches to guide epilepsy surgery from intracranial EEG.

ABSTRACT: Over the past 10 years, the drive to improve outcomes from epilepsy surgery has stimulated widespread interest in methods to quantitatively guide epilepsy surgery from intracranial EEG (iEEG). Many patients fail to achieve seizure freedom, in part due to the challenges in subjective iEEG interpretation. To address this clinical need, quantitative iEEG analytics have been developed using a variety of approaches, spanning studies of seizures, interictal periods, and their transitions, and encompass a range of techniques including electrographic signal analysis, dynamical systems modeling, machine learning and graph theory. Unfortunately, many methods fail to generalize to new data and are sensitive to differences in pathology and electrode placement. Here, we critically review selected liter

SUBMITTER: Bernabei JM 

PROVIDER: S-EPMC10232272 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature